混沌优化在水电站经济负荷分配中的应用

介绍了混沌优化技术的原理和数学模型，在此基础上，将混沌优化应用于求水电站机组之间的经济负荷分配问题，获得了与动态规划方法相同的结果，混沌方法提高了计算速度、减小了维数灾，不失为一种有生命力的优化方法，同时，还较详细地给出了混沌优化的计算步骤。     

磁通正弦PWM零矢量分布遗传求解

在分析现有PWM调制技术的基础上，对磁通正弦PWM进行研究，针对磁通正弦PWM零矢量分布采用混沌变并遗传优化求解的方法．介绍了适合度的计算方法并给出了计算结果．     

混沌映射的粒子群优化方法

为提高粒子群优化的求解性能,在分析了粒子群优化原理的基础上,给出了两种混沌映射的映射规则．构建了基于Logistic映射的混沌粒子群优化方法以及基于Lozi's映射的混沌粒子群优化方法,并给出了两类约束条件的处理方法．采用基于Logistic映射的混沌粒子群优化方法和基于Lozi's映射的混沌粒子群优化方法以及标准粒子群优化方法分别对benchmark有约束优化实例进行求解．对各种方法获得的最优解、成功率指标、平均有效迭代数、迭代占用时间等方面作对比,结果表明: 采用基于Lozi's射映的混沌粒子群优化方法具有求解精度高、优化效率高等优点．     

复杂函数优化的混沌遗传算法

将混沌融入遗传算法提出了混沌遗传算法,该方法利用混沌运动的随机性、遍历性、对初始条件的敏感性等特性进行群体的混沌初始化和最优个体的混沌变尺度载波寻优,典型复杂函数优化的仿真结果表明,该方法较遗传算法具有更快的收敛速度和更小的计算,是复杂函数优化的有效手段。     

土钉支护危险滑动面搜索的混沌优化方法

将混沌优化方法运用于土钉支护危险滑动面的搜索．基于圆弧滑动面模型，选择滑动面与基坑的交点和滑弧所对应的圆心角为优化变量，以安全系数为目标函数，利用变尺度混沌优化方法建立了危险滑动面搜索的混沌优化数学模型．以某深基坑工程为例，利用该方法得到了土钉支护各个施工阶段的危险滑动面，比较了不加钉、本步已加钉和本步尚未加钉3种工况下的安全系数．研究结果表明：对于每一施工步，第1种工况安全系数最小，第3种工况安全系数最大，第2种工况安全系数居中；变尺度混沌优化方法效果主要取决于搜索次数，其次为载波次数；混沌优化方法具有较强的稳健性，是一种有效的危险滑动面搜索方法，并可推广用于非圆弧滑动面搜索．     

统一混沌系统的状态观测器反同步

利用观测器技术,研究了统一混沌系统的反同步问题．利用极点配置技术,设计出了一种基于状态观测器的混沌反同步方法,使得统一混沌系统达到了反同步．该方法简便且易于实现,达到反同步的速度快,数值模拟验证了所提方法的有效性．     

求解TSP的并行混沌优化算法

结合群体优化计算的思想,提出一种并行混沌优化算法,即每一个个体进行混沌串行搜索,得到新的个体,从而在搜索过程中保留了混沌优化的随机性、遍历性等优点.所有个体按照寻优指标进行淘汰,保证算法具有并行的寻优策略,从而保证算法能够在解空间进行充分的寻优搜索.仿真试验验证了该方法的有效性.     

变尺度混沌优化方法在电站经济运行中的应用

变尺度混沌优化方法（Ｍｕｔａｔｉｖ Ｓｃａｌｅ Ｃｈａｏｓ Ｏｐｔｉｍｉｚａｔｉｏｎ Ａｌｇｏｒｉｔｈｅｍ,ＭＳＣＯＡ）利用混沌现象的特点,把混沌变量映射到待寻优变量区间,不断缩小优化变量的搜索空间和提高搜索精度,从而有较高的搜索效率。对几个测试函数的优化计算验证了该方法有的效性。电站经济运行问题是一个具有整型变量、连续变量及非线性函数的混合整数非线性规划,本语文将变尺度混沌优化方法首次应用到电站     

基于界门函数的混沌算法在水库群联合调度中的应用

基于界壳理论的基本思想,提出了一种改进的混沌算法,利用混沌变量的特定内在随机性和遍历性跳出局部最优点,遍历寻找水库群联合调度问题的最优解.实例计算表明,相对于逐步优化算法(POA),该算法计算速度快、收敛性好,提高了计算效率,满足约束的效果较好,不失为求解水库群优化调度问题的有效方法.     

节能发电调度下AGC机组的优化调配研究

节能发电调度对AGC机组优化调配提出了新的要求,在新的调度模式下,AGC机组调配应以能耗最低作为目标。首先建立了节能发电调度下AGC机组的优化调配模型,考虑了系统网络约束对调配过程的影响,并采用混沌遗传算法对AGC机组的优化调配问题进行求解。该方法利用混沌扰动抑制遗传算法的早熟,加快了收敛速度,降低了计算时间。优化计算结果同时包含机组组合和负荷分配方案,增强了方法的实用性。     

改进混沌优化算法在图像匹配中的应用

针对传统模板匹配算法存在的,绝大部分时间都是在非最优匹配点上做匹配运算,计算量大、耗时长、容易产生误匹配等现状,利用混沌具有遍历性这一特点,提出了一种基于混沌优化算法的图像匹配方法,即先用基本混沌算法进行搜索,利用适应度函数筛选掉不必要的点,找到粗匹配位置,再采用二次载波进行精确匹配,找到正确的匹配位置.与传统模板匹配算法和GMPT算法相比,该算法在保证匹配精度的同时,大幅度降低了匹配时间,具有一定的实用价值.     

A combination algorithm of Chaos optimization and genetic algorithm and its application in maneuvering multiple targets data association

The most important problem in targets tracking is data association which may be represented as a sort of constraint combinational optimization problem. Chaos optimization and adaptive genetic algorithm were used to deal with the problem of multi-targets data association separately. Based on the analysis of the limitation of chaos optimization and genetic algorithm, a new chaos genetic optimization combination algorithm was presented. This new algorithm first applied the "rough" search of chaos optimization to initialize the population of GA, then optimized the population by real-coded adaptive GA. In this way, GA can not only jump out of the "trap" of local optimal results easily but also increase the rate of convergence. And the new method can also avoid the complexity and time-consumed limitation of conventional way. The simulation results show that the combination algorithm can obtain higher correct association percent and the effect of association is obviously superior to chaos optimization or genetic algorithm separately. This method has better convergence property as well as time property than the conventional ones.     

利用混沌粒子群算法确定河流水质模型参数

将混沌寻优思想引入到粒子群优化算法中,提出了混沌粒子群算法,这种方法利用混沌运动的随机性、遍历性和规律性等特性对当前粒子群体中的粒子进行混沌寻优。通过这种处理使得粒子群体的进化速度加快,从而改善了粒子群优化算法摆脱局部极值点的能力,提高了算法的收敛速度和精度。并将混沌粒子群算法应用于求解分析瞬时投放示踪剂情况下的一维河流水团示踪试验数据以及确定河流水质参数的函数优化问题,结果表明,混沌粒子群算法的收敛性能明显优于粒子群优化算法。     

Improved algorithm for calculating Lyapunov exponent and distinguishing chaos from noise

An improved algorithm for calculating the largest Lyapunov exponents (λ1) is presented based on Kantz algorithm. The presented algorithm can select a neighborhood in a certain extent according to the variety of the curves for calculating the largest Lyapunov exponent. And it can determine the linear zone based on the curves where branch is generated, thus, the largest Lyapunov exponent is obtained. The numerical experiments for the Hénon map prove that the proposed method is a direct method to identify whether a linear envelope to the curves exists in distinguishing chaos from noise, and it is superior to the Kantz algorithm.     

Fuzzy controller based on chaos optimal design and its application

In order to overcome difficulty of tuning parameters of fuzzy controller, a chaos optimal design method based on annealing strategy is proposed. First, apply the chaotic variables to search for parameters of fuzzy controller, and transform the optimal variables into chaotic variables by carrier-wave method. Making use of the intrinsic stochastic property and ergodicity of chaos movement to escape from the local minimum and direct optimization searching within global range, an approximate global optimal solution is obtained. Then, the chaos local searching and optimization based on annealing strategy are cited, the parameters are optimized again within the limits of the approximate global optimal solution, the optimization is realized by means of combination of global and partial chaos searching, which can converge quickly to global optimal value. Finally, the third order system and discrete nonlinear system are simulated and compared with traditional method of fuzzy control. The results show that the new chaos optimal design method is superior to fuzzy control method, and that the control results are of high precision, with no overshoot and fast response.     

无陀螺捷联惯导系统中圆锥误差的抑制

分析圆锥误差在无陀螺捷联惯导系统中的特性和表现形式,针对系统应用等效旋转矢量方法不能直接提供角增量的特点,设计和优化了角增量的获取方法,利用混沌粒子群算法优化了四子样等效旋转矢量方法中等效旋转矢量计算公式系数,并通过典型圆锥误差仿真实验验证了其能更好地消除圆锥误差的影响,提高系统导航精度.     

电站锅炉热管空气预热器优化设计数学模型

提出电站锅炉热管空气预热器优化设计的数学模型；将预热器最低管子壁温的控制条件引入约束函数矢量；对最优化技术在热管空气预热器设计中应用的方法特点作了说明；给出一个工程设计的计算实例．     

基于T-S模糊模型的水轮机调节系统辨识

针对水轮机调节系统的复杂性、非线性和难以用明确数学模型表达的特点,建立了该系统的T-S模糊模型.考虑到T-S模糊模型的结构与参数间的密切关联性,提出基于混沌优化策略的结构和参数一体化辨识.该方法用混沌优化策略辨识模型的前件参数,用最小二乘法辨识模型后件参数,实现了模糊模型结构的自适应优化.试验结果表明,该T-S辨识模型具有较高的辨识精度及较强的泛化能力,实现了水轮机调节系统的有效辨识.     

Multidisciplinary design optimization for air-condition production system based on multi-agent technique

In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on the multi-agent technology. Local operation models for departments of plan, marketing, sales, purchasing, as well as production and warehouse are formulated into individual agents, and their respective local objectives are collectively formulated into a multi-objective optimization problem. Considering the coupling effects among the correlated agents, the optimization process is carried out based on self-adaptive chaos immune optimization algorithm with mutative scale. The numerical results indicate that the proposed multi-agent optimization model truly reflects the actual situations of the air-condition production system. The proposed multi-agent based multidisciplinary design optimization method can help companies enhance their income ratio and profit by about 33% and 36%, respectively, and reduce the total cost by about 1.8%.     

混沌蚁群优化的高速公路匝道PI控制器

研究混沌蚁群算法优化PI控制器的参数,调控进入高速公路的车辆数量.首先建立了高速公路交通流模型,阐述了混沌蚁群算法的基本原理,并给出了该算法优化的步骤;然后结合非线性反馈理论设计了基于混沌蚁群优化的入口匝道PI控制器;最后用MATLAB软件进行系统仿真.结果表明,该系统响应速度快,具有优越的动态和稳态性能,控制效果优于传统的和基于蚁群优化的PI控制器.